Método para disponibilização dinâmica de serviços críticos de saúde em cenários de mobilidade

Abstract

The implementation of immersive and intelligent technologies, such as augmented real ity (AR) and artificial intelligence (AI), is crucial in customizing medical services, enabling precise diagnostics and individualized treatments within the context of Health 4.0 and the Internet of Things (IoT). In emergency scenarios, the application of advanced technologies in ambulances, including telehealth, rapid diagnostics, and real-time vital data transmission, is essential. These technologies enhance support for first responders and are capable of reducing response times in emergency care. However, this integration faces complex chal lenges, such as limitations in computational resources and the autonomy of mobile devices, where edge computing emerges as an alternative to meet the requirements of these applica tions. Nevertheless, the continuous transfer of services between servers, due to the mobility of ambulances, introduces additional challenges due to variations in network latency and bandwidth, as well as the need for optimization of computational resource utilization. Thus, in this thesis work, a method for the dynamic provisioning of critical services is presented. Experiments to validate a Proof of Concept demonstrate that the method can meet specific requirements for latency, transmission rate, computational resource optimization, and mo bility, enabling optimal allocation.